On the application of non-destructive testing techniques on rotating machinery

The diagnosis of artificial defects in a single stage gearbox using two non-destructive techniques (vibration and acoustic emission) and advanced signal processing techniques to discriminate between different load and defect states is the scope of the present study. Wavelet based techniques were developed and utilised in order to evaluate the vibration signals and extract diagnostic information out of them. A new concept of AE transducer mounting on rotating structures, without the use of the expensive solution of the slip-ring is presented. The AE signals are analysed and their root-mean-square (RMS) values are calculated. The capability of the new approach of AE acquisition in discriminating between different loading and damage states is shown and discussed. Interesting findings on the effect of the oil temperature upon AE recordings only speculated theoretically so far are also presented. Both methods yielded interesting results and showed an ability to distinguish between healthy and defected gears.

[1]  P. D. McFadden,et al.  Early detection of gear failure by vibration analysis--ii. interpretation of the time-frequency distribution using image processing techniques , 1993 .

[2]  N. Tandon,et al.  Detection of defects in gears by acoustic emission measurements , 1999 .

[3]  Ichiya Sato.  Rotating machinery diagnosis with acoustic emission techniques , 1990 .

[4]  P. D. McFadden,et al.  APPLICATION OF WAVELETS TO GEARBOX VIBRATION SIGNALS FOR FAULT DETECTION , 1996 .

[5]  Naim Baydar,et al.  Detection of Gear Deterioration Under Varying Load Conditions by Using the Instantaneous Power Spectrum , 2000 .

[6]  P. D. McFadden,et al.  Early Detection of Gear Failure by Vibration Analysis--I. Calculation of the Time Frequency Distribution , 1993 .

[7]  H. Sentoku.  AE in tooth surface failure process of spur gears , 1998 .

[8]  David,et al.  Application of acoustic emission to seeded gear fault detection , 2005 .

[9]  B. Samanta,et al.  Gear fault diagnosis using energy-based features of acoustic emission signals , 2002 .

[10]  Sandeep M. Vijayakar,et al.  Detecting Gear Tooth Breakage Using Acoustic Emission: a Feasibility and Sensor Placement Study , 1999 .

[11]  Naim Baydar,et al.  DETECTION OF INCIPIENT TOOTH DEFECT IN HELICAL GEARS USING MULTIVARIATE STATISTICS , 2001 .

[12]  W. J. Wang,et al.  Application of orthogonal wavelets to early gear damage detection , 1995 .

[13]  Naim Baydar,et al.  DETECTION OF GEAR FAILURES VIA VIBRATION AND ACOUSTIC SIGNALS USING WAVELET TRANSFORM , 2003 .

[14]  Naim Baydar,et al.  A comparative study of acoustic and vibration signals in detection of gear failures using Wigner-Ville distribution. , 2001 .